Update community page (#2538)

* MAINT: Update `make clean`

Some jupyter cache results were being saved here causing desync

* Update community page

* Move lagrangian diagnostics

* Update reference

* typo

* Add "projects that use Parcels" section

* copy edit

* copy edits

* Disable left sidebar

* Revert "Disable left sidebar"

This reverts commit f624c0a.

* Convert cards to list

* update link

Author: VeckoTheGecko

docs/Makefile

@@ -50,6 +50,7 @@ help:
 
 clean:
 	rm -rf $(BUILDDIR)/*
+	rm -rf .jupyter_cache
 
 html:
 	$(SPHINXBUILD) -b html $(ALLSPHINXOPTS) $(BUILDDIR)/html

docs/community/index.md

@@ -1,30 +1,5 @@
 # Community
 
-```{toctree}
-:caption: CLAM Community
-:maxdepth: 1
-:hidden:
-
-Website <https://clam-community.github.io/>
-```
-
-```{toctree}
-:caption: GitHub
-:maxdepth: 1
-:hidden:
-
-Discussions <https://github.com/Parcels-code/parcels/discussions>
-Issues <https://github.com/Parcels-code/parcels/issues>
-```
-
-```{toctree}
-:caption: Community examples
-:maxdepth: 1
-:hidden:
-
-Repository <https://github.com/Parcels-code/parcels_contributions>
-```
-
 Parcels users and developers interact in a vibrant community on a few different platforms. Check out the cards below to see how you can interact with us.
 
 `````{grid} 1 2 2 2
@@ -78,6 +53,10 @@ Report a bug with an Issue
 
 Curious to see if someone has already written the custom `Kernel` you are thinking of or runs **Parcels** with the same hydrodynamic data? Check out the parcels_contributions repository and share examples with other users!
 
+```{image} https://img.shields.io/badge/maintainer_needed-red
+:width: 40%
+```
+
 +++
 
 ```{button-link} https://github.com/Parcels-code/parcels_contributions
@@ -88,20 +67,35 @@ Curious to see if someone has already written the custom `Kernel` you are thinki
 Share custom Parcels code
 ```
 ````
-````{grid-item-card} Lagrangian Diagnostics
-:img-top: ../_static/LAdiag-logo.svg
-:shadow: md
+`````
 
-Are you interested in advanced analysis and diagnostics of Parcels output or Lagrangian trajectories in general? The Lagrangian Diagnostics project provides code and descriptions of different analyses.
+(analysis-code)=
 
-+++
+## Analysis code
 
-```{button-link} https://lagrangian-diags.readthedocs.io/en/latest/
-:click-parent:
-:color: secondary
-:expand:
+The following is an alphabetically sorted list of tools for analysing Lagrangian trajectory output:
 
-Visit Lagrangian Diagnostics
-```
-````
-`````
+- [Lagrangian Diagnostics](https://lagrangian-diags.readthedocs.io/en/latest/) (![maintainer needed](https://img.shields.io/badge/maintainer_needed-red)): Are you interested in advanced analysis and diagnostics of Parcels output or Lagrangian trajectories in general? The Lagrangian Diagnostics project provides code and descriptions of different analyses.
+- [Lagrangian Trajectories Toolbox](https://github.com/oj-tooth/lt_toolbox): A Python library dedicated to the post-processing, visualisation and analysis of Lagrangian particle trajectories. This library assumes trajectories are stored as tabular output (e..g, Parquet or CSV).
+- [TrajAn](https://github.com/OpenDrift/trajan): A Python package for analysing and plotting ocean drifter and trajectory data stored, developed as part of the OpenDrift project. This library assumes trajectories are stored as CF-compliant Netcdf/Zarr output.
+
+## Projects that use Parcels
+
+The following is an alphabetically sorted list of projects that use Parcels:
+
+- [LOCATE](https://github.com/UPC-LOCATE/LOCATE/): A collection of numerical tools developed within LOCATE ESA-funded project to build simulations of plastic particle dispersion in nearshore water.
+- [PlasticParcels](https://github.com/Parcels-code/plasticparcels): A tool - based on Parcels - providing a modular and customisable collection of methods, notebooks, and tutorials for advecting virtual plastic particles with a wide range of physical properties.
+- [pyPlume](https://github.com/jerukan/PyPlume): A collection of notebooks and methods made unifying the process of loading two-dimensional oceanic current vector fields from models and observations, simulating trajectory models, and analyzing and visualizing particle trajectories.
+- [VirtualFleet](https://github.com/euroargodev/VirtualFleet): Make and analyse simulations of virtual Argo float trajectories
+- [VirtualShip](https://virtualship.parcels-code.org/): A framework to plan and conduct a virtual research expedition, receiving measurements as if they were coming from actual oceanographic instruments.
+
+## Other Lagrangian software
+
+The following is an alphabetically sorted list of other Lagrangian ocean modelling and analysis software:
+
+- [connectivity-modeling-system (CMS)](https://github.com/beatrixparis/connectivity-modeling-system)
+- [Drifters.jl](https://github.com/JuliaClimate/Drifters.jl)
+- [oceantracker](https://github.com/oceantracker/oceantracker)
+- [OpenDrift](https://github.com/OpenDrift/opendrift)
+- [TrackMPD](https://github.com/IJalonRojas/TrackMPD)
+- [TRACMASS](https://www.tracmass.org/)

docs/getting_started/explanation_concepts.md

@@ -188,7 +188,7 @@ pset.execute(kernels=kernels, dt=dt, runtime=runtime)
 
 To analyse the particle data generated in the simulation, we need to define a `parcels.ParticleFile` and add it as an argument to `parcels.ParticleSet.execute()`. The output will be written in a [zarr format](https://zarr.readthedocs.io/en/stable/), which can be opened as an `xarray.Dataset`. The dataset will contain the particle data with at least `time`, `z`, `lat` and `lon`, for each particle at timesteps defined by the `outputdt` argument.
 
-There are many ways to analyze particle output, and although we provide [a short tutorial to get started](./tutorial_output.ipynb), we recommend writing your own analysis code and checking out other projects such as [trajan](https://opendrift.github.io/trajan/index.html) and [Lagrangian Diagnostics](https://lagrangian-diags.readthedocs.io/en/latest/).
+There are many ways to analyze particle output, and although we provide [a short tutorial to get started](./tutorial_output.ipynb), we recommend writing your own analysis code and checking out [related Lagrangian analysis projects in our community page](../community/index.md#analysis-code).
 
 ```{admonition} 🖥️ Learn how to run a simulation
 :class: seealso